MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202641112639 A) filed by Mr. Chittibabulu Sape; T. Usha Rani; Renuka Kondabala; Dr Gunupusala Satyanarayana; Adidam Surekha; Karri Lavanya; Kollipara Sri Lakshmi Annapurna; and Dr Bhupesh Kumar Namdeti on September 19, 2026, for Ai-Driven Adaptive Spectrum And Resource Allocation System For 6g Networks.
Inventors include Mr. Chittibabulu Sape; T. Usha Rani; Renuka Kondabala; Dr Gunupusala Satyanarayana; Adidam Surekha; Karri Lavanya; Kollipara Sri Lakshmi Annapurna; and Dr Bhupesh Kumar Namdeti.
The application for the patent was published on September 25, 2026, under issue no. 39/2026.
Abstract: The present invention discloses an AI-Driven Adaptive Spectrum and Resource Allocation System for 6G Networks for intelligent, efficient, and dynamic management of wireless communication resources. The system employs artificial intelligence and machine learning techniques to continuously monitor network parameters including spectrum availability, traffic demand, channel quality, interference, user mobility, latency requirements, Quality of Service (QoS), transmission power, and energy consumption. Based on real-time and historical network information, an AI-based prediction module estimates future traffic patterns, congestion conditions, spectrum requirements, and resource demand. An adaptive resource-allocation module then dynamically assigns suitable spectrum bands, bandwidth, communication channels, transmission power, and computing resources to users and network nodes according to their requirements and network conditions. The system further incorporates interference management, QoS-based prioritization, energy-aware allocation, and continuous feedback-based learning to improve subsequent allocation decisions.
Disclaimer: Curated by HT Syndication.
